Self-paced stacked denoising autoencoders based on differential evolution for change detection

•We put forward a self-paced stacked denoising autoencoders model for change detection in radar images.•Every training sample is assigned with a weight, then deep network stacked denoising autoencoders is adopted to learn these weighted samples.•Self-paced learning is employed for alternately traini...

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Vydané v:	Applied soft computing Ročník 71; s. 698 - 714
Hlavní autori:	Li, Hao, Gong, Maoguo, Wang, Congcong, Miao, Qiguang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2018
Predmet:	Differential evolution Image change detection Self-paced learning Stacked denoising autoencoders Synthetic aperture radar Differential evolution Image change detection Self-paced learning Stacked denoising autoencoders Synthetic aperture radar
ISSN:	1568-4946, 1872-9681
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